Foods for Health and TDAI Announce Joint Funding Opportunities
Artificial intelligence (AI) and machine learning (ML) methodologies have the potential to provide new insights into the complex relationship between diet and overall health. From the integration of large ‘omics’ datasets to the use of computer vision to capture dietary intake, there are countless ways that AI/ML can be used to advance food, nutrition, and health research. The Foods for Health Research Initiative (FFH) and Translational Data Analytics Institute (TDAI) are excited to join forces and release two new funding opportunities focused on the intersection of AI/ML, food, nutrition, and health.
Planning Grants: $10,000/1-year
The inaugural PLANNING award will provide up to $10,000 in direct costs for a one-year planning period. The purpose of this funding mechanism is to encourage the integration of research across artificial intelligence, data science, and the food-nutrition-health continuum by providing resources to develop new interdisciplinary teams. This opportunity is open to all FFH and TDAI core and affiliated faculty.
Projects of interest include:
- Organizing conferences or symposia around topics of interest with the intent to further build the research community
- Facilitated team development and strategic planning
- Small proof-of-concept studies
Submissions are accepted on a rolling basis. Up to 3 awards will be funded in 2023.